{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray as xr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# sst = xr.open_mfdataset('E:/sst-prediction-master/sst-prediction-master/data/*.nc',parallel=True)"
   ]
  },
  {
   "source": [
    "### 测试一下 将结果画出到地图上\n"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "\n",
    "from train import train\n",
    "from predict import predict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "WARNING:tensorflow:From /home/msdc_2/anaconda3/envs/tf2/lib/python3.6/site-packages/tensorflow/python/ops/resource_variable_ops.py:435: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Colocations handled automatically by placer.\n",
      "WARNING:tensorflow:From /home/msdc_2/anaconda3/envs/tf2/lib/python3.6/site-packages/tensorflow/python/ops/math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use tf.cast instead.\n",
      "WARNING:tensorflow:From /home/msdc_2/anaconda3/envs/tf2/lib/python3.6/site-packages/tensorflow/python/ops/math_grad.py:102: div (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Deprecated in favor of operator or tf.math.divide.\n"
     ]
    }
   ],
   "source": [
    "\n",
    "predict_value = predict(2) # 168*168"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "SSH_origin = xr.open_dataset('all_year_height.nc')\n",
    "lat = SSH_origin.latitude.data\n",
    "lon = SSH_origin.longitude.data\n",
    "#将点数据转换坐标数据\n",
    "point = []\n",
    "for la in range(predict_value.shape[0]):\n",
    "    for lo in range(predict_value.shape[1]):\n",
    "        point.append([lat[la],lon[lo],predict_value[la,lo]])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "res = pd.DataFrame(point,columns=['lat','lon','point'])\n",
    "res = res.loc[res['point']>0,:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import plotly.express as px  # (version 4.7.0)\n",
    "import plotly.graph_objects as go\n",
    "\n",
    "px.set_mapbox_access_token(open(\"UI/mapbox.token\").read())\n",
    "\n",
    "\n"
   ]
  },
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     "metadata": {}
    }
   ],
   "source": [
    "fig = px.scatter_mapbox(data_frame=res,lon='lon',lat='lat',color='point',opacity=0.95,zoom=2.1,center={'lat':19.625,'lon':131.125})\n",
    "fig.update_layout(margin={\"r\":0,\"t\":0,\"l\":0,\"b\":0},  # remove the white gutter between the frame and map\n",
    "        # hover appearance\n",
    "        #title=dict(text = \"2020年最新的温度全球分布\",xanchor = 'center',xref = 'paper'),\n",
    "        hoverlabel=dict( \n",
    "            # bgcolor=\"white\",     # white background\n",
    "            font_size=12,        # label font size\n",
    "            font_family=\"Inter\"\n",
    "            ), # label font\n",
    "        mapbox_style=\"satellite\",#width =11000,\n",
    "        height = 400,\n",
    "        coloraxis_showscale=False\n",
    "\n",
    "        )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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